metadata

license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: e_care_xlm_roberta_large_finetuned
    results: []

e_care_xlm_roberta_large_finetuned

This model is a fine-tuned version of FacebookAI/xlm-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7550
F1: 0.8011

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.6491	1.0	933	0.4687	0.7630
0.4502	2.0	1866	0.4618	0.7809
0.2981	3.0	2799	0.4715	0.7978
0.2031	4.0	3732	0.6238	0.7941
0.1335	5.0	4665	0.7550	0.8011

Framework versions

Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1